Target Pesticide and Fertilizer Spraying Robot
対象農薬・肥料散布ロボット (AI 翻訳)
Girish K A, Chiranthana Shreya, Nischitha H E, Veda K T K, Reethu K R
🤖 gxceed AI 要約
日本語
本論文は、AIと画像処理を用いて植物をリアルタイム検出し、自動で肥料を散布するロボットを提案する。化学物質の使用を最適化し、環境負荷と農家の健康リスクを低減する。実験により、散布精度が向上し、資源の無駄を削減できることを示す。
English
This paper presents an autonomous robot using AI and image processing to detect plants and spray fertilizers precisely. It reduces chemical waste and farmer exposure, enhancing sustainability. Experiments demonstrate improved spraying accuracy and resource efficiency.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の農業分野では、スマート農業技術の導入が進んでおり、本ロボットは農薬・肥料の使用量削減に寄与する可能性がある。ただし、GX関連の規制や開示要件との直接的な関連は薄い。
In the global GX context
Globally, precision agriculture is recognized for reducing environmental impact. This robot aligns with sustainable farming goals but lacks direct linkage to climate disclosure frameworks like TCFD or ISSB.
👥 読者別の含意
🔬研究者:Precision agriculture and AI-based resource optimization methods.
🏢実務担当者:Agricultural firms can adopt targeted spraying to reduce chemical costs and improve sustainability.
🏛政策担当者:Potential to inform policies promoting sustainable agriculture and reducing chemical runoff.
📄 Abstract（原文）
In the field of agriculture, efficient use of resources such fertilizers is crucial for sustainable farming. Overuse of chemicals can lead to environmental damage and health risks to farmers, while underuse may lead to poor crop yields. A potential solution to this problem is the implementation of an autonomous, targeted spraying robot. This project presents a novel robotic system that leverages artificial intelligence (AI) and image processing techniques to detect targeted plants in real time and auton-omously spray fertilizers. The robot is equipped with a camera for image capture, which transmits data to a laptop for processing. The AI algorithms on the laptop analyze the captured images to identify the plants. The robot is manually controlled using a Bluetooth app for movement, while the spraying of the liquid is automatically triggered when the target plant is identified. The robot, constructed using DC motors, a motor driver, and an Arduino microcontroller, operates with high precision, reducing chem-ical waste, protecting farmers from hazardous exposure, and enhancing crop productivity. This project demonstrates how targeted applications of chemicals can optimize agricultural practices, contributing to environmental conservation and improving farmer safety.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.21715303first seen 2026-08-02 05:08:10 · last seen 2026-08-02 05:08:11
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